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BioModels Parameters: a treasure trove of parameter values from published systems biology models

MOTIVATION: One of the major bottlenecks in building systems biology models is identification and estimation of model parameters for model calibration. Searching for model parameters from published literature and models is an essential, yet laborious task. RESULTS: We have developed a new service, B...

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Autores principales: Glont, Mihai, Arankalle, Chinmay, Tiwari, Krishna, Nguyen, Tung V N, Hermjakob, Henning, Malik-Sheriff, Rahuman S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653554/
https://www.ncbi.nlm.nih.gov/pubmed/32573648
http://dx.doi.org/10.1093/bioinformatics/btaa560
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author Glont, Mihai
Arankalle, Chinmay
Tiwari, Krishna
Nguyen, Tung V N
Hermjakob, Henning
Malik-Sheriff, Rahuman S
author_facet Glont, Mihai
Arankalle, Chinmay
Tiwari, Krishna
Nguyen, Tung V N
Hermjakob, Henning
Malik-Sheriff, Rahuman S
author_sort Glont, Mihai
collection PubMed
description MOTIVATION: One of the major bottlenecks in building systems biology models is identification and estimation of model parameters for model calibration. Searching for model parameters from published literature and models is an essential, yet laborious task. RESULTS: We have developed a new service, BioModels Parameters, to facilitate search and retrieval of parameter values from the Systems Biology Markup Language models stored in BioModels. Modellers can now directly search for a model entity (e.g. a protein or drug) to retrieve the rate equations describing it; the associated parameter values (e.g. degradation rate, production rate, Kcat, Michaelis–Menten constant, etc.) and the initial concentrations. Currently, BioModels Parameters contains entries from over 84,000 reactions and 60 different taxa with cross-references. The retrieved rate equations and parameters can be used for scanning parameter ranges, model fitting and model extension. Thus, BioModels Parameters will be a valuable service for systems biology modellers. AVAILABILITY AND IMPLEMENTATION: The data are accessible via web interface and API. BioModels Parameters is free to use and is publicly available at https://www.ebi.ac.uk/biomodels/parameterSearch. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-76535542020-11-16 BioModels Parameters: a treasure trove of parameter values from published systems biology models Glont, Mihai Arankalle, Chinmay Tiwari, Krishna Nguyen, Tung V N Hermjakob, Henning Malik-Sheriff, Rahuman S Bioinformatics Original Papers MOTIVATION: One of the major bottlenecks in building systems biology models is identification and estimation of model parameters for model calibration. Searching for model parameters from published literature and models is an essential, yet laborious task. RESULTS: We have developed a new service, BioModels Parameters, to facilitate search and retrieval of parameter values from the Systems Biology Markup Language models stored in BioModels. Modellers can now directly search for a model entity (e.g. a protein or drug) to retrieve the rate equations describing it; the associated parameter values (e.g. degradation rate, production rate, Kcat, Michaelis–Menten constant, etc.) and the initial concentrations. Currently, BioModels Parameters contains entries from over 84,000 reactions and 60 different taxa with cross-references. The retrieved rate equations and parameters can be used for scanning parameter ranges, model fitting and model extension. Thus, BioModels Parameters will be a valuable service for systems biology modellers. AVAILABILITY AND IMPLEMENTATION: The data are accessible via web interface and API. BioModels Parameters is free to use and is publicly available at https://www.ebi.ac.uk/biomodels/parameterSearch. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-06-23 /pmc/articles/PMC7653554/ /pubmed/32573648 http://dx.doi.org/10.1093/bioinformatics/btaa560 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Glont, Mihai
Arankalle, Chinmay
Tiwari, Krishna
Nguyen, Tung V N
Hermjakob, Henning
Malik-Sheriff, Rahuman S
BioModels Parameters: a treasure trove of parameter values from published systems biology models
title BioModels Parameters: a treasure trove of parameter values from published systems biology models
title_full BioModels Parameters: a treasure trove of parameter values from published systems biology models
title_fullStr BioModels Parameters: a treasure trove of parameter values from published systems biology models
title_full_unstemmed BioModels Parameters: a treasure trove of parameter values from published systems biology models
title_short BioModels Parameters: a treasure trove of parameter values from published systems biology models
title_sort biomodels parameters: a treasure trove of parameter values from published systems biology models
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653554/
https://www.ncbi.nlm.nih.gov/pubmed/32573648
http://dx.doi.org/10.1093/bioinformatics/btaa560
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